-1.41goals above what the league converts the same chances into
Build-up per 90
0.2211% of Ipswich’s build-up value
league 0.27
Dara O'Shea ranks 314th of 397 qualified players for attacking involvement, shooting from 14.1m on average, with 90% of their danger coming from set pieces. They carry 2% of Ipswich’s attacking involvement, the 16th largest share in the squad.
Against their position
123 defenders
Shooting
per 90
Goals
0.0028th
Non-penalty goals
0.0028th
xG
0.0551st
Non-penalty xG
0.0551st
Shots
0.6367th
npxG per shot
0.0732nd
Shot distance
14.1m55th
Set-piece share
90%68th
Goals against xG
-1.68th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.0673rd
Expected assists
0.0232nd
Key passes
0.096th
npxG + xA
0.0729th
xG chain
0.2528th
xG build-up
0.2231st
Assists against xA
+1.396th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2024/25.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2024/25.
Discipline
per 90
Yellow cards
6season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 123 defenders with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end.
This week
Gameweek 8
Next fixture
Gameweek 8
vsNottingham Forest
Fri 23 Oct, 19:00 UTC
Nottingham Forest concede 14.0 shots a match and are 1.13× the league norm against defenders. A favourable draw.
Projected shots
0.70
0.63 per 90 × 1.10
Projected on target
0.06
0.06 per 90 × 0.98
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
35 appearances
Over 0.517 of 3549%± 8
Over 1.55 of 3514%± 6
Over 2.50 of 350%± 0
Over 3.50 of 350%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 35.
Dara O'Shea, 2024/25, final 35m. A further 5% of their shots came from outside this window.
left
22%
Centre
53%
right
25%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.071
Shots per 90
0.63
Key passes per 90
0.09
Average shot distance
14.1m
From set pieces
90%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
87%
Club role
Ipswich
What they are for
On the pitch91% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Dara O'Shea’soutput.
Chances received
who supplies them
Leif Davis0.7 xG10 shots, 0g
Ben Johnson0.4 xG3 shots, 0g
Jens Cajuste0.1 xG2 shots, 0g
Julio Enciso0.0 xG1 shot, 0g
Sam Morsy0.0 xG1 shot, 0g
Chances created
who they supply
Liam Delap0.6 xG1 shot, 1g
George Hirst0.1 xG1 shot, 1g
Jaden Philogene-Bidace0.0 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Dara O'Shea carries 11.1%of Ipswich’s build-up value.
Build-up per 900.224
31% of defenders
Possession value per 900.248
28% of defenders
Ranked against 123 defenders with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.
Match by match
Match log
35 appearances, oldest first
over 1.5
at Brighton2 shots 0 on target
at Southampton1 shot 1 on target
v Villa1 shot 0 on target
at West Ham1 shot 0 on target
v Everton1 shot 0 on target
v Leicester2 shots 0 on target
at Spurs1 shot 0 on target
v Palace1 shot 0 on target
v Newcastle1 shot 0 on target
v Chelsea1 shot 0 on target
v Man City1 shot 1 on target
v Spurs1 shot 0 on target
at Bournemouth1 shot 0 on target
v Wolves2 shots 0 on target
at Chelsea2 shots 0 on target
at Everton1 shot 0 on target
at Leicester2 shots 0 on target
18 blanksno shot not placed
Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 18 sits at the end, counted but unplaced.
How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.
